Multi-dimensional wavelets for scalable image decomposition: Orbital wavelets

被引：0
|
作者：
de Oliveira, H. M. [1 ]
Vermehren, V. V. [2 ]
Cintra, R. J. [1 ,3 ]
机构：
[1] Univ Fed Pernambuco, Dept Estat, Recife, PE, Brazil
[2] Univ Estado Amazonas, Dept Engn Eletr, Manaus, Amazonas, Brazil
[3] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
来源：
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 2020年 / 18卷 / 05期
关键词：
2D wavelets; anti-symmetric wavelets; orthogonal wavelets; image analysis; COMPRESSION;
D O I：
10.1142/S0219691320500381
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Wavelets are closely related to Schrodinger's wave functions and the interpretation of Born. Similar to the appearance of atomic orbital, it is proposed to combine anti-symmetric wavelets into orbital wavelets. The proposed approach allows the increase of the dimension of wavelets through this process. New orbital 2D-wavelets are introduced for the decomposition of still images, showing that it is possible to perform an analysis simultaneously in two distinct scales. An example of such an image analysis is shown.
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页数：11
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